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Harmony Search Method: Theory and Applications
The Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical varia...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405318/ https://www.ncbi.nlm.nih.gov/pubmed/25945083 http://dx.doi.org/10.1155/2015/258491 |
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author | Gao, X. Z. Govindasamy, V. Xu, H. Wang, X. Zenger, K. |
author_facet | Gao, X. Z. Govindasamy, V. Xu, H. Wang, X. Zenger, K. |
author_sort | Gao, X. Z. |
collection | PubMed |
description | The Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified HS method inspired by the idea of Pareto-dominance-based ranking is also presented. It is further applied to handle a practical wind generator optimal design problem. |
format | Online Article Text |
id | pubmed-4405318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44053182015-05-05 Harmony Search Method: Theory and Applications Gao, X. Z. Govindasamy, V. Xu, H. Wang, X. Zenger, K. Comput Intell Neurosci Review Article The Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified HS method inspired by the idea of Pareto-dominance-based ranking is also presented. It is further applied to handle a practical wind generator optimal design problem. Hindawi Publishing Corporation 2015 2015-04-07 /pmc/articles/PMC4405318/ /pubmed/25945083 http://dx.doi.org/10.1155/2015/258491 Text en Copyright © 2015 X. Z. Gao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Gao, X. Z. Govindasamy, V. Xu, H. Wang, X. Zenger, K. Harmony Search Method: Theory and Applications |
title | Harmony Search Method: Theory and Applications |
title_full | Harmony Search Method: Theory and Applications |
title_fullStr | Harmony Search Method: Theory and Applications |
title_full_unstemmed | Harmony Search Method: Theory and Applications |
title_short | Harmony Search Method: Theory and Applications |
title_sort | harmony search method: theory and applications |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405318/ https://www.ncbi.nlm.nih.gov/pubmed/25945083 http://dx.doi.org/10.1155/2015/258491 |
work_keys_str_mv | AT gaoxz harmonysearchmethodtheoryandapplications AT govindasamyv harmonysearchmethodtheoryandapplications AT xuh harmonysearchmethodtheoryandapplications AT wangx harmonysearchmethodtheoryandapplications AT zengerk harmonysearchmethodtheoryandapplications |